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(Implementation Science) to join our national concussion research initiative. This position will play a pivotal role in coordinating and managing a large-scale study aimed at driving the uptake of the newly
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. The project, "Building the bridge from GWAS to Breeder through multi-omic network data fusion", focuses on transforming GWAS discoveries into actionable breeding insights. Using sorghum as a model, the work
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will include leading and undertaking quantitative data analyses, including working with large-scale longitudinal survey and administration data, to generate novel insights and contribute to high-quality
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temperature, flux rate, surface coverage, plasma composition and excitations. The seeding process of a new layer in heteroepitaxy requires large-scale surface modelling with accurate force-field parameters
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and build a strong emerging research profile in Information Retrieval, Natural Language Processing and Large Language Models, with a focus on transformative applications in the healthcare domain. At UQ